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Diego Ardila
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Merge branch 'master' into release
2 parents e3a2b84 + 59a2b50 commit 7bde819

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5 files changed

+546
-11
lines changed

5 files changed

+546
-11
lines changed

‎nucleus/autocurate.py

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@@ -8,12 +8,9 @@
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from nucleus.job import AsyncJob
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def entropy(name, model_runs, client):
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assert (
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len({model_run.dataset_id for model_run in model_runs}) == 1
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), f"Model runs have conflicting dataset ids: {model_runs}"
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model_run_ids = [model_run.model_run_id for model_run in model_runs]
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dataset_id = model_runs[0].dataset_id
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def entropy(name, model_run, client):
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model_run_ids = [model_run.model_run_id]
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dataset_id = model_run.dataset_id
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response = client.make_request(
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payload={"modelRunIds": model_run_ids},
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route=f"autocurate/{dataset_id}/single_model_entropy/{name}",

‎scripts/autocurate_bdd.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "d5f245bd-0ca9-4a1c-ba2c-bc952f9eb09f",
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"metadata": {},
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"outputs": [],
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"source": [
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"import nucleus\n",
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"import nucleus.autocurate"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "4c26e04c-2346-4be1-98a8-fe6dced7f8d1",
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"metadata": {},
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"outputs": [],
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"source": [
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"API_KEY = 'test_47f6394c4822426389461f36334a45ff' # Vinjai's API key\n",
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"client = nucleus.NucleusClient(API_KEY)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 115,
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"id": "fb4daca6-e217-485f-bdd3-ac9a60b48842",
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"metadata": {},
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"outputs": [],
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"source": [
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"run = client.get_model_run(model_run_id='run_c4s9crbjwjzg0b9g3200', dataset_id='ds_c4s5prvm7v0007rf4vag')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "eee9ef2e-62cd-4da4-9862-d3903f47e00d",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 116,
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"id": "904c4570-bfda-4bb3-9c46-eb44ff62d5f3",
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"metadata": {},
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"outputs": [],
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"source": [
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"job = nucleus.autocurate.entropy(\"Mean Entropy (with Nones)\", [run], client)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 117,
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"id": "d5ff24e8-d960-4ddc-a2ea-6cd14809de4c",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'job_id': 'job_c4s9n7wwm9105t7g22bg',\n",
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" 'status': 'Completed',\n",
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" 'message': {'status_log': 'No additional information can be provided at this time.'},\n",
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" 'job_progress': '0.00',\n",
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" 'completed_steps': 0,\n",
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" 'total_steps': 0}"
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]
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},
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"execution_count": 117,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"job.status()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "76bf3af8-6fa3-4bcd-abf6-2184da9ad1b2",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "87504db0-4fe2-4588-a929-2f45957dfaf4",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 93,
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"id": "99894c0b-ee0f-4721-84b6-8c6881a52265",
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"metadata": {},
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"outputs": [],
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"source": [
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"dataset = client.get_dataset('ds_c4s4cx39h33g09hm2hh0')\n",
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"model = client.get_model('prj_c4s4ent9m78g099966j0')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 94,
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"id": "6b6ef647-9c2e-4195-a0ed-56ba79518762",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"0it [00:00, ?it/s]\n"
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]
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}
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],
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"source": [
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"run = model.create_run(name='test', dataset=dataset, predictions=[])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 95,
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"id": "a3b41138-5bce-46af-82fe-b8c47fd57290",
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"metadata": {},
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"outputs": [],
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"source": [
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"pred = [nucleus.BoxPrediction(label='traffic sign', x=690, y=337, width=96, height=40, reference_id='34f3e55f-9919bb47.jpg', class_pdf={'person': 0.00022668440182883353,\n",
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" 'rider': 0.00012657202022136208,\n",
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" 'car': 0.001457674309916847,\n",
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" 'truck': 0.004805948302644584,\n",
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" 'bus': 0.015461443014798156,\n",
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" 'train': 0.0003142998148843214,\n",
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" 'motor': 0.00019848517426185146,\n",
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" 'bike': 0.0002754959884690579,\n",
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" 'traffic light': 0.0006128712862352474,\n",
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" 'traffic sign': 0.9765205256867397}, confidence=0.9765205256867397)]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 97,
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"id": "8602b078-803d-40a7-bafd-41067fa94d07",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"100%|██████████| 1/1 [00:04<00:00, 4.73s/it]\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"{'model_run_id': 'run_c4s4ktqwm91bgxksm0e0',\n",
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" 'predictions_processed': 1,\n",
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" 'predictions_ignored': 0}"
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]
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},
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"execution_count": 97,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"run.predict(pred)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 100,
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"id": "da741f8d-36d1-4fa7-84ce-5c56428d652c",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'person': 0.00022668440182883353,\n",
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" 'rider': 0.00012657202022136208,\n",
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" 'car': 0.001457674309916847,\n",
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" 'truck': 0.004805948302644584,\n",
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" 'bus': 0.015461443014798156,\n",
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" 'train': 0.0003142998148843214,\n",
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" 'motor': 0.00019848517426185146,\n",
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" 'bike': 0.0002754959884690579,\n",
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" 'traffic light': 0.0006128712862352474,\n",
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" 'traffic sign': 0.9765205256867397}"
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]
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},
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"execution_count": 100,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"run.ungrouped_export()['box'][0].class_pdf"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1c51f65b-39e9-4814-b36c-21e9d319d610",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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